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A comparative study of several parameterizations for speaker recognition ...
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Speaker verification in mismatch training and testing conditions ...
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Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation ...
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A New Amharic Speech Emotion Dataset and Classification Benchmark ...
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Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks ...
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Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects ...
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Automatic Dialect Density Estimation for African American English ...
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Abstract:
In this paper, we explore automatic prediction of dialect density of the African American English (AAE) dialect, where dialect density is defined as the percentage of words in an utterance that contain characteristics of the non-standard dialect. We investigate several acoustic and language modeling features, including the commonly used X-vector representation and ComParE feature set, in addition to information extracted from ASR transcripts of the audio files and prosodic information. To address issues of limited labeled data, we use a weakly supervised model to project prosodic and X-vector features into low-dimensional task-relevant representations. An XGBoost model is then used to predict the speaker's dialect density from these features and show which are most significant during inference. We evaluate the utility of these features both alone and in combination for the given task. This work, which does not rely on hand-labeled transcripts, is performed on audio segments from the CORAAL database. We show ... : 5 pages, 2 figures ...
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Keyword:
Audio and Speech Processing eess.AS; Computation and Language cs.CL; F.2.2, I.2.7; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD
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URL: https://arxiv.org/abs/2204.00967 https://dx.doi.org/10.48550/arxiv.2204.00967
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End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system ...
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Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems ...
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SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ...
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Automatic Detection of Speech Sound Disorder in Child Speech Using Posterior-based Speaker Representations ...
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Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition ...
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Principles of Learning in Multitask Settings: A Probabilistic Perspective ...
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Principles of Learning in Multitask Settings: A Probabilistic Perspective ...
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Towards a Perceptual Model for Estimating the Quality of Visual Speech ...
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Learning and controlling the source-filter representation of speech with a variational autoencoder ...
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